TY - JOUR
T1 - Estimating operational risk for hedge funds
T2 - The ω-score
AU - Brown, Stephen
AU - Goetzmann, William N
AU - Liang, Bing
AU - Schwarz, Christopher
PY - 2009/1
Y1 - 2009/1
N2 - Using a complete set of U.S. SEC filing information on hedge funds (Form ADV) and data from the Upper TASS Hedge Fund Database, the study reported here developed a quantitative model called the co-score to measure hedge fund operational risk. The co-score is related to conflict-of- interest issues, concentrated ownership, and reduced leverage in the Form ADV data. With a statistical methodology, the study further related the ω-score to such readily available information as fund performance, volatility, size, age, and fee structures. Finally, the study demonstrated that although operational risk is more significant than financial risk in explaining fund failure, a significant and positive interaction exists between operational risk and financial risk.
AB - Using a complete set of U.S. SEC filing information on hedge funds (Form ADV) and data from the Upper TASS Hedge Fund Database, the study reported here developed a quantitative model called the co-score to measure hedge fund operational risk. The co-score is related to conflict-of- interest issues, concentrated ownership, and reduced leverage in the Form ADV data. With a statistical methodology, the study further related the ω-score to such readily available information as fund performance, volatility, size, age, and fee structures. Finally, the study demonstrated that although operational risk is more significant than financial risk in explaining fund failure, a significant and positive interaction exists between operational risk and financial risk.
UR - http://www.scopus.com/inward/record.url?scp=79952011327&partnerID=8YFLogxK
U2 - 10.2469/faj.v65.n1.8
DO - 10.2469/faj.v65.n1.8
M3 - Article
AN - SCOPUS:79952011327
SN - 0015-198X
VL - 65
SP - 43
EP - 53
JO - Financial Analysts Journal
JF - Financial Analysts Journal
IS - 1
ER -